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RegionBased Video Coding Using A Multiscale Image Segmentation Seung Chul Yoon, Krishna Ratakonda and Narendra Ahuja
 

Summary: Region­Based Video Coding Using A Multiscale Image Segmentation
Seung Chul Yoon, Krishna Ratakonda and Narendra Ahuja
Department of Electrical and Computer Engineering
Beckman Institute, University of Illinois, Urbana, IL 61801
scyoon@stereo.ai.uiuc.edu
Abstract
This paper proposes a novel region­based video cod­
ing technique using a multiscale image segmentation
method thus obtaining better quality at the same bit
rate. In most of the previous region­based video cod­
ing techniques, occlusion caused degradation in terms
of both PSNR and perceptual video quality. We pro­
pose a new motion estimation and compensation al­
gorithm which solves occlusion related problems effec­
tively. The proposed motion estimation and compen­
sation is a two stage procedure: the first stage uses
a coarse motion model while the second stage uses a
dense motion model. The coarse motion model gen­
erates region level motion vectors which are then fine
tuned by the dense motion model which produces pixel

  

Source: Ahuja, Narendra - Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign

 

Collections: Computer Technologies and Information Sciences; Engineering